---
title: "Who cites Soft Merging of Experts with Adaptive Routing"
description: "24 papers of the Elamur Research library cite «Soft Merging of Experts with Adaptive Routing», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Soft Merging of Experts with Adaptive Routing](https://md.research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/) / cited by

# Who cites «Soft Merging of Experts with Adaptive Routing»

24 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Soft Merging of Experts with Adaptive Routing»](https://md.research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/)

1. [**LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition arXiv:2307.13269**Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.*2023 · 108 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-lorahub-efficient-cross-task-generalization/)
2. [**Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities arXiv:2408.07666**Enneng Yang, Li Shen, Guibing Guo, et al.*2024 · 79 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-model-merging-llms-mllms-methods/)
3. [**Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning arXiv:2309.05444**Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.*2023 · 69 citations*](https://md.research.elamur.ai/free/en/papers/zadouri-2023-pushing-mixture-experts-limit-extremely/)
4. [**LLM Augmented LLMs: Expanding Capabilities through Composition arXiv:2401.02412**Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, et al.*2024 · 30 citations*](https://md.research.elamur.ai/free/en/papers/bansal-2024-llm-augmented-llms-expanding-capabilities/)
5. **[Revisiting Model Interpolation for Efficient Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-revisiting-model-interpolation-efficient-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taiqiang Wu, Runming Yang, Tao Liu, et al.*2026 · 6 citations*
6. **[SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning](https://md.research.elamur.ai/free/en/papers/shi-2026-samora-semantic-aware-mixture-lora/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyan Shi, Wei Chen, Shuyuan Zhao, et al.*2026*

18 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/muqeeth-2023-soft-merging-experts-adaptive-routing/) — Soft Merging of Experts with Adaptive Routing